Using Foundation Models to Promote Digitization and Reproducibility in Scientific Experimentation
- Amol Thakkar
- Andrea Giovannini
- et al.
- 2023
- NeurIPS 2023
Carlo Baldassari
Title
RoboRXN Lab Chemist
Publications
Growing strings in a chemical reaction space for searching retrosynthesis pathways
- 2023
- ChemRxiv
Predicting the right Reaction Solvents in Organic Synthesis using Artificial Intelligence
- Oliver Schilter
- Carlo Baldassari
- et al.
- 2023
- ACS Fall 2023
Growing Strings in a Chemical Reaction Space for Searching Retrosynthesis Pathways
- 2023
- MRS Spring Meeting 2023
Growing strings in a chemical reaction space for searching retrosynthesis pathways
- 2023
- ACS Spring 2023
Projects
Creating the AI-enabled lab for a new era of reproducible and collaborative experimentation
Leveraging AI foundation models and multi-cloud computing to usher in a new era of reproducible and collaborative experimentation for scientific discovery.
Top collaborators
TL
Teodoro Laino
Distinguished RSM, Manager
MM
Matteo Manica
Senior Research Scientist
JB
Jannis Born
Research Scientist in AI for Scientific Discovery
FZ
Federico Zipoli
Research Scientist